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    "description": "Stateless query engine designed to answer question over your data using LlamaIndex",
    "usecases": ["Documents QnA"],
    "framework": ["LlamaIndex"],
    "nodes": [
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            "width": 300,
            "height": 382,
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                "label": "Query Engine",
                "version": 2,
                "name": "queryEngine",
                "type": "QueryEngine",
                "baseClasses": ["QueryEngine", "BaseQueryEngine"],
                "tags": ["LlamaIndex"],
                "category": "Engine",
                "description": "Simple query engine built to answer question over your data, without memory",
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                        "label": "Return Source Documents",
                        "name": "returnSourceDocuments",
                        "type": "boolean",
                        "optional": true,
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                "inputAnchors": [
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                        "label": "Vector Store Retriever",
                        "name": "vectorStoreRetriever",
                        "type": "VectorIndexRetriever",
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                    },
                    {
                        "label": "Response Synthesizer",
                        "name": "responseSynthesizer",
                        "type": "ResponseSynthesizer",
                        "description": "ResponseSynthesizer is responsible for sending the query, nodes, and prompt templates to the LLM to generate a response. See <a target=\"_blank\" href=\"https://ts.llamaindex.ai/modules/response_synthesizer\">more</a>",
                        "optional": true,
                        "id": "queryEngine_0-input-responseSynthesizer-ResponseSynthesizer"
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                ],
                "inputs": {
                    "vectorStoreRetriever": "{{pineconeLlamaIndex_0.data.instance}}",
                    "responseSynthesizer": "{{compactrefineLlamaIndex_0.data.instance}}",
                    "returnSourceDocuments": true
                },
                "outputAnchors": [
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                        "id": "queryEngine_0-output-queryEngine-QueryEngine|BaseQueryEngine",
                        "name": "queryEngine",
                        "label": "QueryEngine",
                        "type": "QueryEngine | BaseQueryEngine"
                    }
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                "selected": false
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            "height": 585,
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                "name": "pineconeLlamaIndex",
                "type": "Pinecone",
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                "tags": ["LlamaIndex"],
                "category": "Vector Stores",
                "description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
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                    {
                        "label": "Pinecone Index",
                        "name": "pineconeIndex",
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                        "id": "pineconeLlamaIndex_0-input-pineconeIndex-string"
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                    {
                        "label": "Pinecone Namespace",
                        "name": "pineconeNamespace",
                        "type": "string",
                        "placeholder": "my-first-namespace",
                        "additionalParams": true,
                        "optional": true,
                        "id": "pineconeLlamaIndex_0-input-pineconeNamespace-string"
                    },
                    {
                        "label": "Pinecone Metadata Filter",
                        "name": "pineconeMetadataFilter",
                        "type": "json",
                        "optional": true,
                        "additionalParams": true,
                        "id": "pineconeLlamaIndex_0-input-pineconeMetadataFilter-json"
                    },
                    {
                        "label": "Top K",
                        "name": "topK",
                        "description": "Number of top results to fetch. Default to 4",
                        "placeholder": "4",
                        "type": "number",
                        "additionalParams": true,
                        "optional": true,
                        "id": "pineconeLlamaIndex_0-input-topK-number"
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                ],
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                        "name": "document",
                        "type": "Document",
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                        "optional": true,
                        "id": "pineconeLlamaIndex_0-input-document-Document"
                    },
                    {
                        "label": "Chat Model",
                        "name": "model",
                        "type": "BaseChatModel_LlamaIndex",
                        "id": "pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex"
                    },
                    {
                        "label": "Embeddings",
                        "name": "embeddings",
                        "type": "BaseEmbedding_LlamaIndex",
                        "id": "pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex"
                    }
                ],
                "inputs": {
                    "document": "",
                    "model": "{{chatAnthropic_LlamaIndex_0.data.instance}}",
                    "embeddings": "{{openAIEmbedding_LlamaIndex_0.data.instance}}",
                    "pineconeIndex": "",
                    "pineconeNamespace": "",
                    "pineconeMetadataFilter": "",
                    "topK": ""
                },
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                    {
                        "name": "output",
                        "label": "Output",
                        "type": "options",
                        "options": [
                            {
                                "id": "pineconeLlamaIndex_0-output-retriever-Pinecone|VectorIndexRetriever",
                                "name": "retriever",
                                "label": "Pinecone Retriever",
                                "type": "Pinecone | VectorIndexRetriever"
                            },
                            {
                                "id": "pineconeLlamaIndex_0-output-retriever-Pinecone|VectorStoreIndex",
                                "name": "vectorStore",
                                "label": "Pinecone Vector Store Index",
                                "type": "Pinecone | VectorStoreIndex"
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                        ],
                        "default": "retriever"
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                    "output": "retriever"
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                "selected": false
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            "height": 334,
            "id": "openAIEmbedding_LlamaIndex_0",
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            "data": {
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                "label": "OpenAI Embedding",
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                "name": "openAIEmbedding_LlamaIndex",
                "type": "OpenAIEmbedding",
                "baseClasses": ["OpenAIEmbedding", "BaseEmbedding_LlamaIndex", "BaseEmbedding"],
                "tags": ["LlamaIndex"],
                "category": "Embeddings",
                "description": "OpenAI Embedding specific for LlamaIndex",
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                        "name": "credential",
                        "type": "credential",
                        "credentialNames": ["openAIApi"],
                        "id": "openAIEmbedding_LlamaIndex_0-input-credential-credential"
                    },
                    {
                        "label": "Model Name",
                        "name": "modelName",
                        "type": "asyncOptions",
                        "loadMethod": "listModels",
                        "default": "text-embedding-ada-002",
                        "id": "openAIEmbedding_LlamaIndex_0-input-modelName-options"
                    },
                    {
                        "label": "Timeout",
                        "name": "timeout",
                        "type": "number",
                        "optional": true,
                        "additionalParams": true,
                        "id": "openAIEmbedding_LlamaIndex_0-input-timeout-number"
                    },
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                        "label": "BasePath",
                        "name": "basepath",
                        "type": "string",
                        "optional": true,
                        "additionalParams": true,
                        "id": "openAIEmbedding_LlamaIndex_0-input-basepath-string"
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                ],
                "inputAnchors": [],
                "inputs": {
                    "timeout": "",
                    "basepath": "",
                    "modelName": "text-embedding-ada-002"
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                        "label": "OpenAIEmbedding",
                        "type": "OpenAIEmbedding | BaseEmbedding_LlamaIndex | BaseEmbedding"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "selected": false,
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            "dragging": false
        },
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            "width": 300,
            "height": 749,
            "id": "compactrefineLlamaIndex_0",
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                "y": -33.83233752386292
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            "type": "customNode",
            "data": {
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                "label": "Compact and Refine",
                "version": 1,
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                "type": "CompactRefine",
                "baseClasses": ["CompactRefine", "ResponseSynthesizer"],
                "tags": ["LlamaIndex"],
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                "description": "CompactRefine is a slight variation of Refine that first compacts the text chunks into the smallest possible number of chunks.",
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                        "name": "refinePrompt",
                        "type": "string",
                        "rows": 4,
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                        "optional": true,
                        "id": "compactrefineLlamaIndex_0-input-refinePrompt-string"
                    },
                    {
                        "label": "Text QA Prompt",
                        "name": "textQAPrompt",
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                        "rows": 4,
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                        "optional": true,
                        "id": "compactrefineLlamaIndex_0-input-textQAPrompt-string"
                    }
                ],
                "inputAnchors": [],
                "inputs": {
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                    "textQAPrompt": "Context information:\n<context>\n{context}\n</context>\nGiven the context information and not prior knowledge, answer the query.\nQuery: {query}"
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                        "id": "compactrefineLlamaIndex_0-output-compactrefineLlamaIndex-CompactRefine|ResponseSynthesizer",
                        "name": "compactrefineLlamaIndex",
                        "label": "CompactRefine",
                        "type": "CompactRefine | ResponseSynthesizer"
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            "selected": false,
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            "width": 300,
            "height": 529,
            "id": "chatAnthropic_LlamaIndex_0",
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            "type": "customNode",
            "data": {
                "id": "chatAnthropic_LlamaIndex_0",
                "label": "ChatAnthropic",
                "version": 3.0,
                "name": "chatAnthropic_LlamaIndex",
                "type": "ChatAnthropic",
                "baseClasses": ["ChatAnthropic", "BaseChatModel_LlamaIndex"],
                "tags": ["LlamaIndex"],
                "category": "Chat Models",
                "description": "Wrapper around ChatAnthropic LLM specific for LlamaIndex",
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                    {
                        "label": "Connect Credential",
                        "name": "credential",
                        "type": "credential",
                        "credentialNames": ["anthropicApi"],
                        "id": "chatAnthropic_LlamaIndex_0-input-credential-credential"
                    },
                    {
                        "label": "Model Name",
                        "name": "modelName",
                        "type": "asyncOptions",
                        "loadMethod": "listModels",
                        "default": "claude-3-haiku",
                        "id": "chatAnthropic_LlamaIndex_0-input-modelName-options"
                    },
                    {
                        "label": "Temperature",
                        "name": "temperature",
                        "type": "number",
                        "step": 0.1,
                        "default": 0.9,
                        "optional": true,
                        "id": "chatAnthropic_LlamaIndex_0-input-temperature-number"
                    },
                    {
                        "label": "Max Tokens",
                        "name": "maxTokensToSample",
                        "type": "number",
                        "step": 1,
                        "optional": true,
                        "additionalParams": true,
                        "id": "chatAnthropic_LlamaIndex_0-input-maxTokensToSample-number"
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                        "label": "Top P",
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                        "type": "number",
                        "step": 0.1,
                        "optional": true,
                        "additionalParams": true,
                        "id": "chatAnthropic_LlamaIndex_0-input-topP-number"
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                ],
                "inputAnchors": [],
                "inputs": {
                    "modelName": "claude-2",
                    "temperature": 0.9,
                    "maxTokensToSample": "",
                    "topP": ""
                },
                "outputAnchors": [
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                        "name": "chatAnthropic_LlamaIndex",
                        "label": "ChatAnthropic",
                        "type": "ChatAnthropic | BaseChatModel_LlamaIndex"
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                ],
                "outputs": {},
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